Machine Predictive Maintenance Classification

This table contains data on machine predictive maintenance classification, with information on various parameters such as air temperature, process temperature, rotational speed, torque, tool wear, and failure type. It can be used to analyze and predict machine failures, optimize maintenance schedules, and improve overall operational efficiency. (AI-generated)

UDI, Product ID, Type, Air temperature [K], Process temperature [K], Rotational speed [rpm], Torque [Nm], Tool wear [min], Target, Failure Type